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author | CoprDistGit <infra@openeuler.org> | 2023-04-11 01:32:29 +0000 |
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committer | CoprDistGit <infra@openeuler.org> | 2023-04-11 01:32:29 +0000 |
commit | 8785a984ca880c8e72826a09654b6b9c1bdabaaa (patch) | |
tree | 2594daac7167cd5deb177eabfbb50d7b2a374884 | |
parent | c57bca3911935b603c71dc9572b4c1676762afed (diff) |
automatic import of python-huey
-rw-r--r-- | .gitignore | 1 | ||||
-rw-r--r-- | python-huey.spec | 183 | ||||
-rw-r--r-- | sources | 1 |
3 files changed, 185 insertions, 0 deletions
@@ -0,0 +1 @@ +/huey-2.4.5.tar.gz diff --git a/python-huey.spec b/python-huey.spec new file mode 100644 index 0000000..fb8c6ec --- /dev/null +++ b/python-huey.spec @@ -0,0 +1,183 @@ +%global _empty_manifest_terminate_build 0 +Name: python-huey +Version: 2.4.5 +Release: 1 +Summary: huey, a little task queue +License: None +URL: http://github.com/coleifer/huey/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a7/2e/a1afc46dd8fadf43eaa7ca7232d1c766d444d636e840278bd1b6c2b6d873/huey-2.4.5.tar.gz +BuildArch: noarch + + +%description + from huey import RedisHuey, crontab + huey = RedisHuey('my-app', host='redis.myapp.com') + @huey.task() + def add_numbers(a, b): + return a + b + @huey.task(retries=2, retry_delay=60) + def flaky_task(url): + # This task might fail, in which case it will be retried up to 2 times + # with a delay of 60s between retries. + return this_might_fail(url) + @huey.periodic_task(crontab(minute='0', hour='3')) + def nightly_backup(): + sync_all_data() +Calling a ``task``-decorated function will enqueue the function call for +execution by the consumer. A special result handle is returned immediately, +which can be used to fetch the result once the task is finished: + >>> from demo import add_numbers + >>> res = add_numbers(1, 2) + >>> res + <Result: task 6b6f36fc-da0d-4069-b46c-c0d4ccff1df6> + >>> res() + 3 +Tasks can be scheduled to run in the future: + >>> res = add_numbers.schedule((2, 3), delay=10) # Will be run in ~10s. + >>> res(blocking=True) # Will block until task finishes, in ~10s. + 5 +For much more, check out the `guide <https://huey.readthedocs.io/en/latest/guide.html>`_ +or take a look at the `example code <https://github.com/coleifer/huey/tree/master/examples/>`_. +Running the consumer +^^^^^^^^^^^^^^^^^^^^ +Run the consumer with four worker processes: + $ huey_consumer.py my_app.huey -k process -w 4 +To run the consumer with a single worker thread (default): + $ huey_consumer.py my_app.huey +If your work-loads are mostly IO-bound, you can run the consumer with threads +or greenlets instead. Because greenlets are so lightweight, you can run quite a +few of them efficiently: + $ huey_consumer.py my_app.huey -k greenlet -w 32 + +%package -n python3-huey +Summary: huey, a little task queue +Provides: python-huey +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-huey + from huey import RedisHuey, crontab + huey = RedisHuey('my-app', host='redis.myapp.com') + @huey.task() + def add_numbers(a, b): + return a + b + @huey.task(retries=2, retry_delay=60) + def flaky_task(url): + # This task might fail, in which case it will be retried up to 2 times + # with a delay of 60s between retries. + return this_might_fail(url) + @huey.periodic_task(crontab(minute='0', hour='3')) + def nightly_backup(): + sync_all_data() +Calling a ``task``-decorated function will enqueue the function call for +execution by the consumer. A special result handle is returned immediately, +which can be used to fetch the result once the task is finished: + >>> from demo import add_numbers + >>> res = add_numbers(1, 2) + >>> res + <Result: task 6b6f36fc-da0d-4069-b46c-c0d4ccff1df6> + >>> res() + 3 +Tasks can be scheduled to run in the future: + >>> res = add_numbers.schedule((2, 3), delay=10) # Will be run in ~10s. + >>> res(blocking=True) # Will block until task finishes, in ~10s. + 5 +For much more, check out the `guide <https://huey.readthedocs.io/en/latest/guide.html>`_ +or take a look at the `example code <https://github.com/coleifer/huey/tree/master/examples/>`_. +Running the consumer +^^^^^^^^^^^^^^^^^^^^ +Run the consumer with four worker processes: + $ huey_consumer.py my_app.huey -k process -w 4 +To run the consumer with a single worker thread (default): + $ huey_consumer.py my_app.huey +If your work-loads are mostly IO-bound, you can run the consumer with threads +or greenlets instead. Because greenlets are so lightweight, you can run quite a +few of them efficiently: + $ huey_consumer.py my_app.huey -k greenlet -w 32 + +%package help +Summary: Development documents and examples for huey +Provides: python3-huey-doc +%description help + from huey import RedisHuey, crontab + huey = RedisHuey('my-app', host='redis.myapp.com') + @huey.task() + def add_numbers(a, b): + return a + b + @huey.task(retries=2, retry_delay=60) + def flaky_task(url): + # This task might fail, in which case it will be retried up to 2 times + # with a delay of 60s between retries. + return this_might_fail(url) + @huey.periodic_task(crontab(minute='0', hour='3')) + def nightly_backup(): + sync_all_data() +Calling a ``task``-decorated function will enqueue the function call for +execution by the consumer. A special result handle is returned immediately, +which can be used to fetch the result once the task is finished: + >>> from demo import add_numbers + >>> res = add_numbers(1, 2) + >>> res + <Result: task 6b6f36fc-da0d-4069-b46c-c0d4ccff1df6> + >>> res() + 3 +Tasks can be scheduled to run in the future: + >>> res = add_numbers.schedule((2, 3), delay=10) # Will be run in ~10s. + >>> res(blocking=True) # Will block until task finishes, in ~10s. + 5 +For much more, check out the `guide <https://huey.readthedocs.io/en/latest/guide.html>`_ +or take a look at the `example code <https://github.com/coleifer/huey/tree/master/examples/>`_. +Running the consumer +^^^^^^^^^^^^^^^^^^^^ +Run the consumer with four worker processes: + $ huey_consumer.py my_app.huey -k process -w 4 +To run the consumer with a single worker thread (default): + $ huey_consumer.py my_app.huey +If your work-loads are mostly IO-bound, you can run the consumer with threads +or greenlets instead. Because greenlets are so lightweight, you can run quite a +few of them efficiently: + $ huey_consumer.py my_app.huey -k greenlet -w 32 + +%prep +%autosetup -n huey-2.4.5 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-huey -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 2.4.5-1 +- Package Spec generated @@ -0,0 +1 @@ +722ddfa2e29339c69e5b0bb75c9d9add huey-2.4.5.tar.gz |